BIG DATA FOR SUBSIDY MECHANISM

Abstract

The government is liable to help every citizen for employability, minimum facilitation of livelihood and almost all countries have shown their concern for. There are several ways of helping the poor and weaker section of society as well as all resident of a community/area or whole population and one of them subsidy. All subsidy schemes have two objectives, to help the common man and to upgrade their economic and living status. These have several success and failure stories and need up-gradation at every actionable day to protect the frauds, minimize the financial burden to government and maximize the impact of schemes. The main objective of the present study is to assess the issues associated with government subsidies and proposing the solution from Big data, most accepted source of information in current information era. The study review the source of information which may be usable for the subsidy mechanism and scaled it through data driven technique which will be more transparent, democratic and recommend the more responsible governance system after assigning the stepwise monitoring and verification from the data.